Serum levels of salusin β in acute lymphoblastic leukaemia and Wilms’ tumour survivors – preliminary report
Bibliographic record
Abstract
Introduction Cardiovascular diseases (CVD) are one of the long-term side effects of childhood cancer treatment. Salusin β is an indicator of atherosclerosis development. The aim of the study was to evaluate serum salusin β levels in long-term acute lymphoblastic leukaemia survivors (ALLs) and Wilms’ tumour survivors (WTs) and compare these levels to established CVD risk factors. Material and methods Thirty-seven ALLs and eleven WTs underwent physical examination and laboratory tests after an overnight fast at least 5 years after the end of oncological treatment. The laboratory tests included analysis of lipid profiles, serum glucose levels, renal parameters and salusin β levels. Results The groups did not vary in age, time from the end of the treatment, number of obese persons, blood pressure, lipid profile, serum creatinine and glucose levels. The ALLs had greater weights and greater waist circumferences. The serum cystatin level was higher and the cystatin-based estimated glomerular filtration rate was lower in the WTs. Salusin β was higher in the WT group, but the result was not statistically significant. Conclusions Acute lymphoblastic leukaemia survivors and WTs differ in terms of types of long-term side effects. Acute lymphoblastic leukaemia survivors more often develop obesity and metabolic problems, whereas WTs tend to develop renal disorders. Salusin β levels are associated with the level of LDL in ALLs and can indicate lipid disorders in patients with higher risk of obesity, suggesting that it could be a predictor of atherosclerosis. Further investigations are necessary to confirm this result. It is necessary to continue follow-up among adults who have been treated for childhood cancers to reveal long-term side effects such as cardiovascular disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".